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a) What is µ, and ox (sigma chi), for this distribution? Round values to two decimal places if needed.

Based on the images provided, here is the information about the normal distribution:

- **μ (mean)** = 119.7
- **σ (standard deviation)** = 10.9

These values describe the normal distribution where the probability \( P(99.7 \leq X \leq 143.1) \) is approximately 0.9508.

Would you like more details or have any specific questions?

Here are 5 related questions to deepen your understanding:
1. What does the value of \( \mu \) represent in the context of a normal distribution?
2. How does the standard deviation \( \sigma \) affect the shape of a normal distribution?
3. What percentage of the data lies within 1 standard deviation of the mean in this normal distribution?
4. How would you interpret the probability \( P(99.7 \leq X \leq 143.1) = 0.9508 \)?
5. How does changing \( \mu \) and \( \sigma \) affect the probabilities in a normal distribution?

**Tip:** In a normal distribution, approximately 68% of the data falls within one standard deviation of the mean, and 95% within two standard deviations.

What is µ (mean) and σ (standard deviation) for this distribution? Round values to two decimal places if needed.

Explore the normal distribution with a mean (µ) of 119.7 and standard deviation (σ) of 10.9. Learn how to calculate the probability for a given range, P(99.7 ≤ X ≤ 143.1) = 0.9508, and interpret the results. Suitable for Grades 10-12.

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